Senior Data & Analytics Engineer — Flexible, Remote-Ready

AgileEngine, LLC.; Cartagena de Indias; Presencial; COP 404.013.000 - 606.020.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision-making in the media and entertainment industry.

You will deliver robust data features and pipelines using Python, SQL, dbt Cloud, and Snowflake, collaborating with product managers, data visualization leads, and analysts to produce consumption-ready data for business decisions.

Formación

• 4+ years of experience in data engineering or analytics engineering in production environments.
• Expert-level Python and SQL skills with dbt Cloud experience preferred.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Ability to work in a fast-paced, governance-aware environment with non-technical stakeholders.

Responsabilidades

• Deliver robust data features and pipelines within project teams, focusing on business-facing verticals.
• Translate complex use cases into robust data models using dbt and SQL, integrating external data sources.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Collaborate with product managers and data visualization leads to deliver consumption-ready data.
• Partner with technical leadership to set quality standards and governance around tooling and data.

Conocimientos

Python

SQL

Data engineering

Analytics engineering

Cloud data platforms

Herramientas

dbt Cloud

Snowflake

GitHub

VS Code

Descripción del empleo

AgileEngine is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision-making in the media and entertainment industry.

You will deliver robust data features and pipelines using Python, SQL, dbt Cloud, and Snowflake, collaborating with product managers, data visualization leads, and analysts to produce consumption-ready data for business decisions.